Automated data projection for smart contract groups on a blockchain

ABSTRACT

An example operation may include one or more of identifying a data record to be included in a blockchain, creating a group of smart contracts to enable access to the data record to data consumers with access to the blockchain, determining the group of smart contracts have been registered by one or more blockchain peers, and storing the group of smart contracts on the blockchain.

TECHNICAL FIELD

This application generally relates to data projection, and more particularly, to performing an automated data projection for smart contracts on a distributed ledger (such as a blockchain).

BACKGROUND

A ledger is commonly defined as an account book of entry, in which transactions are recorded. A distributed ledger is ledger that is replicated in whole or in part to multiple computers. A Cryptographic Distributed Ledger (CDL) can have at least some of these properties: irreversibility (once a transaction is recorded, it cannot be reversed), accessibility (any party can access the CDL in whole or in part), chronological and time-stamped (all parties know when a transaction was added to the ledger), consensus based (a transaction is added only if it is approved, typically unanimously, by parties on the network), verifiability (all transactions can be cryptographically verified). A blockchain is an example of a CDL. While the description and figures herein are described in terms of a blockchain, the instant application applies equally to any CDL.

A distributed ledger is a continuously growing list of records that typically apply cryptographic techniques such as storing cryptographic hashes relating to other blocks. A blockchain is one common instance of a distributed ledger and may be used as a public ledger to store information. Although, primarily used for financial transactions, a blockchain can store various information related to goods and services (i.e., products, packages, status, etc.). A decentralized scheme provides authority and trust to a decentralized network and enables its nodes to continuously and sequentially record their transactions on a public “block”, creating a unique “chain” referred to as a blockchain. Cryptography, via hash codes, is used to secure an authentication of a transaction source and removes a central intermediary. Blockchain is a distributed database that maintains a continuously-growing list of records in the blockchain blocks, which are secured from tampering and revision due to their immutable properties. Each block contains a timestamp and a link to a previous block. Blockchain can be used to hold, track, transfer and verify information. Since blockchain is a distributed system, before adding a transaction to the blockchain ledger, all peers need to reach a consensus status.

Conventionally, in various applications, a record of data generated by a producer is projected onto subsets of its attributes and distributed to different data consumers. For example, a data model ‘A’ record R′ of data with fields ‘F’ may be projected as R[Si]:=R|(Si) for n subsets of the fields S1, . . . , Sn⊆F. Each projection R[Si] is consumed independently by a subset of data consumers. Typically, the producers and consumers are distributed over a network. Data could be generated at a high rate. Essentially, the applications can be thought of as distributed pub-sub systems which are well known to those skilled in the art. One data record ‘R’ may have various different consumers consuming different subsets of the record ‘R’. Organizing the data records in anticipation of expected consumer access operations may provide optimal results.

SUMMARY

One example embodiment may provide a method that includes one or more of identifying a data record to be included in a blockchain, creating a group of smart contracts to enable access to the data record to data consumers with access to the blockchain, determining the group of smart contracts have been registered by one or more blockchain peers, and storing the group of smart contracts on the blockchain.

Another example embodiment may include an apparatus that includes a processor configured to identify a data record to be included in a blockchain, create a group of smart contracts to enable access to the data record to data consumers with access to the blockchain, determine the group of smart contracts have been registered by one or more blockchain peers, and store the group of smart contracts on the blockchain.

Yet another example embodiment may provide a non-transitory computer readable storage medium configured to store instructions that when executed cause a processor to perform one or more of identifying a data record to be included in a blockchain, creating a group of smart contracts to enable access to the data record to data consumers with access to the blockchain, determining the group of smart contracts have been registered by one or more blockchain peers, and storing the group of smart contracts on the blockchain.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A illustrates a network diagram of a blockchain data record management configuration, according to example embodiments.

FIG. 1B illustrates a network diagram of a blockchain data record management configuration using a group of smart contracts, according to example embodiments.

FIG. 1C illustrates a network diagram of a blockchain data record management configuration for insertion of a data record by a producing peer, according to example embodiments.

FIG. 1D illustrates a network diagram of a blockchain data record management configuration of an ordering service for insertion of a data record by a producing peer, according to example embodiments.

FIG. 2A illustrates an example peer node blockchain architecture configuration for data record management, according to example embodiments.

FIG. 2B illustrates an example peer node blockchain configuration, according to example embodiments.

FIG. 3 is a diagram illustrating a permissioned blockchain network, according to example embodiments.

FIG. 4 illustrates a system messaging diagram for performing data record management, according to example embodiments.

FIG. 5 illustrates a flow diagram of an example method of data record management in a blockchain, according to example embodiments.

FIG. 6A illustrates an example physical infrastructure configured to perform various operations on the blockchain in accordance with one or more operations described herein, according to example embodiments.

FIG. 6B illustrates an example smart contract configuration among contracting parties and a mediating server configured to enforce smart contract terms on a blockchain, according to example embodiments.

FIG. 7 illustrates an example computer system configured to support one or more of the example embodiments.

DETAILED DESCRIPTION

It will be readily understood that the instant components, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of at least one of a method, apparatus, non-transitory computer readable medium and system, as represented in the attached figures, is not intended to limit the scope of the application as claimed, but is merely representative of selected embodiments.

The instant features, structures, or characteristics as described throughout this specification may be combined in any suitable manner in one or more embodiments. For example, the usage of the phrases “example embodiments”, “some embodiments”, or other similar language, throughout this specification refers to the fact that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment. Thus, appearances of the phrases “example embodiments”, “in some embodiments”, “in other embodiments”, or other similar language, throughout this specification do not necessarily all refer to the same group of embodiments, and the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

In addition, while the term “message” may have been used in the description of embodiments, the application may be applied to many types of network data, such as, packet, frame, datagram, etc. The term “message” also includes packet, frame, datagram, and any equivalents thereof. Furthermore, while certain types of messages and signaling may be depicted in exemplary embodiments they are not limited to a certain type of message, and the application is not limited to a certain type of signaling.

Example embodiments provide methods, devices, networks and/or systems, which provide for the projection and distribution of data on a blockchain network. Producers/consumers of data may be peer level users of enterprise blockchain networks. Smart contracts may be used to achieve data insertion, projection and distribution. Specifically, for each projection Si there is a channel Ci with all the producing peers (i.e., peers producing records), and all the Si-consuming peers (i.e., peers consuming the fields corresponding to Si).

A blockchain is a distributed system which includes multiple nodes that communicate with each other. A blockchain operates programs called chaincode (e.g., smart contracts, etc.), holds state and ledger data, and executes transactions. Some transactions are operations invoked on the chaincode. In general, blockchain transactions typically must be “endorsed” by certain blockchain members and only endorsed transactions may be committed to the blockhcain and have an effect on the state of the blockchain. Other transactions which are not endorsed are disregarded. There may exist one or more special chaincodes for management functions and parameters, collectively called system chaincodes.

Nodes are the communication entities of the blockchain system. A “node” may perform a logical function in the sense that multiple nodes of different types can run on the same physical server. Nodes are grouped in trust domains and are associated with logical entities that control them in various ways. Nodes may include different types, such as a client or submitting-client node which submits a transaction-invocation to an endorser (e.g., peer), and broadcasts transaction-proposals to an ordering service (e.g., ordering node). Another type of node is a peer node which can receive client submitted transactions, commit the transactions and maintain a state and a copy of the ledger of blockchain transactions. Peers can also have the role of an endorser, although it is not a requirement. An ordering-service-node or orderer is a node running the communication service for all nodes, and which implements a delivery guarantee, such as a broadcast to each of the peer nodes in the system when committing transactions and modifying a world state of the blockchain, which is another name for the initial blockchain transaction which normally includes control and setup information.

A ledger is a sequenced, tamper-resistant record of all state transitions of a blockchain. State transitions may result from chaincode invocations (i.e., transactions) submitted by participating parties (e.g., client nodes, ordering nodes, endorser nodes, peer nodes, etc.). A transaction may result in a set of asset key-value pairs being committed to the ledger as one or more operands, such as creates, updates, deletes, and the like. The ledger includes a blockchain (also referred to as a chain) which is used to store an immutable, sequenced record in blocks. The ledger also includes a state database which maintains a current state of the blockchain. There is typically one ledger per channel. Each peer node maintains a copy of the ledger for each channel of which they are a member.

A chain is a transaction log which is structured as hash-linked blocks, and each block contains a sequence of N transactions where N is equal to or greater than one. The block header includes a hash of the block's transactions, as well as a hash of the prior block's header. In this way, all transactions on the ledger may be sequenced and cryptographically linked together. Accordingly, it is not possible to tamper with the ledger data without breaking the hash links. A hash of a most recently added blockchain block represents every transaction on the chain that has come before it, making it possible to ensure that all peer nodes are in a consistent and trusted state. The chain may be stored on a peer node file system (i.e., local, attached storage, cloud, etc.), efficiently supporting the append-only nature of the blockchain workload.

The current state of the immutable ledger represents the latest values for all keys that are included in the chain transaction log. Because the current state represents the latest key values known to a channel, it is sometimes referred to as a world state. Chaincode invocations execute transactions against the current state data of the ledger. To make these chaincode interactions efficient, the latest values of the keys may be stored in a state database. The state database may be simply an indexed view into the chain's transaction log, it can therefore be regenerated from the chain at any time. The state database may automatically be recovered (or generated if needed) upon peer node startup, and before transactions are accepted.

Multiple smart contracts may be created and allotted to certain portions of a data record ‘R’, those data portions being different for each smart contract or the same. For example, separate smart contract corresponding to separate channels and certain subsets of the fields of the data record ‘R’, are created and shared with a set of data consumers. Two different smart contracts would correspond to two different subsets of the data fields otherwise there will be redundancy between certain smart contracts identifying the same portions of a data record ‘R’.

FIG. 1A illustrates a network diagram of a blockchain data record management configuration, according to example embodiments. In this configuration 100A, the record ‘R’ 102 is identified by a data management application operated on each peer node of the blockchain. The application identifies the record R and computes for each ‘i’ a projection R[Si], such as R[S1] 104, R[S2] 106 and R[S3] 108. A transaction ‘proposal’ is a smart contract execution call sent from the application to an endorsing peer. The proposals P1-110, P2-112 and P3-114, are sent to the endorsement process by the peer(s) 116, and the endorsed proposals 118, 122 and 124 are forwarded to an ordering service 126 for blockchain commitment. The peer simulates the smart contract execution to produce a consequent set of changes to the ledger (i.e., a read/write set), which are called the endorsed transaction proposals 118-124, and which are sent back to the application. The application sends the endorsed transaction proposals 118-124 to the ordering service 126, which adds the transactions to a blockchain block, which may contain other transactions, provided the peers accept commitment on their ledgers.

A channel is a set of blockchain peers which share a distributed ledger corresponding to the channel and which is accessible to only its peers. A channel may have several smart contracts instantiated on it which modify the shared ledger. A separate blockchain of transactions is maintained for each channel by its peers. An invoke proposal is the same as a smart contract transaction proposal. A smart contract may also be executed to only query the ledger without changing its state, this would be a query proposal which is simply executed by a peer and the result from its local ledger is provided to the calling application.

FIG. 1B illustrates a network diagram of a blockchain data record management configuration using a group of smart contracts, according to example embodiments. Referring to FIG. 1B, the configuration 100B includes a record R 102 with projections R[S1] 104 through R[S3] 108 being subjected to a group invoke proposal [P] 132, which is endorsed by peers 116 to create an endorsed group invoke proposal P 134. The group-invoke is a combined execution of a “group” of multiple smart contracts on the same record of data. This group-invoke proposal is sent by the application to an endorsing peer which simulates the execution of all the constituent smart contracts, and produces the endorsed transaction proposals which are combined into an endorsed group-invoke proposal. This group-invoke proposal is received by the application and then sent to the ordering service 126. Since the different endorsed transaction proposals in the endorsed group-invoke proposal may correspond to different channels, they are distributed into blocks of their respective channels. This involves a disaggregation of the endorsed group-invoke proposal into the endorsed transaction proposals and a re-aggregation of the latter into channel-specific blocks corresponding to the different peers.

FIG. 1C illustrates a network diagram of a blockchain data record management configuration for insertion of a data record by a producing peer, according to example embodiments. Referring to FIG. 1C, the example configuration 100C provides for insertion of a record by a producing peer. If the endorsed group invoke proposal ‘P’ 142 is received and disaggregated 144, the result is a plurality of separate endorsed proposals P1 148 through P3 152. The ordering service 150 disaggregates the endorsed group-invoke proposal into smart contract level endorsed proposals. For each peer (producers and consumers) the ordering service sends an appropriate reaggregation of the endorsed smart contract proposals as transactions for committal to the blockchain. This approach provides atomicity of group-invoke operations until a dispatch operation, as performed by the ordering service 150. For instance, the individual transactions of the smart contracts constituting the group of smart contracts are all endorsed by the peer(s) and dispatched by the ordering service, or else, none of the smart contracts/transactions are dispatched. This approach lowers the amount of network congestion due to bundling performed in the group-invoke proposal.

FIG. 1D illustrates a network diagram of a blockchain data record management configuration of an ordering service for insertion of a data record by a producing peer, according to example embodiments. Referring to FIG. 1D, the configuration 100D provides for each producing peer registering its groups with the ordering/endorsing service. This registration may provide a ‘Group-ID’ 169, record fields 162, and the smart contract IDs in that group along with the projections, specific to a producing peer, for each of the smart contracts 164, 166 and 168 in that group. This information is verified during registration. The group-invoke proposal created by the peer includes the Group-ID and the data record to be inserted. Using the group's registration information the endorsing service endorses the proposal. The code is present at the endorsing policy level and is not a part of any smart contract. The endorsed proposal includes the Group-ID and the read/write sets for each smart contract in that group. The re-aggregated transaction created by the ordering service for a peer includes the relevant read/write sets.

In the use case described above with respect to FIG. 1D, the underlying smart contracts are used to compute and store their own ledger as the projection of the same input record of data onto a subset of its fields. The term “projection” provides that the smart contracts ‘1’, ‘2’, and ‘3’ are projections. A group of smart contracts are provided by the constituent smart contracts, the set of fields of the input data record, and a Group-ID for identification. This information is registered with the peer and ordering service. The application simply sends, as part of its group-invoke proposal, the input data record and the Group-ID to the peer. The peer, using the Group-ID, determines the group of smart contracts to be executed on the input data record to produce the endorsed group-invoke proposal.

The examples provide the capability for a producer to define a group of smart contracts which are independent of each other. This group receives as input, subsets of a same record of data and treats the ‘invoke’ as a combined proposal or a single group invoke based on multiple members of the group. This approach increases communication efficiency by removing network congestion.

In one specific example of a medical data sharing network, hospitals are the producers of medical data while allied services (e.g., insurance, medical drug research) entities are consumers of the data. The medical data generated by the producers may be in the form of a per-patient record with fields corresponding to patient identity along with various test results. The records are intended to be shared with the consumers after being appropriately filtered and projected according to privacy and/or contractual policies. Blockchain implementations can provide an efficient and robust solution for medical data sharing by implementing the group smart contract approach. The hospitals are the producing peers, and the allied service entities are the consuming peers. The smart contract channels are deployed for each data projection required, along with appropriately defined and registered smart contract groups on the network.

FIG. 2A illustrates a blockchain architecture configuration 200, according to example embodiments. Referring to FIG. 2A, the blockchain architecture 200 may include certain blockchain elements, for example, a group of blockchain nodes 202. The blockchain nodes 202 may include one or more nodes 204-210. (4 nodes are depicted by example only). These nodes participate in a number of activities, such as blockchain transaction addition and validation process (consensus). One or more of the blockchain nodes 204-210 may endorse transactions and may provide an ordering service for all blockchain nodes in the architecture 200. A blockchain node may initiate a blockchain authentication and seek to write to a blockchain immutable ledger stored in blockchain layer 216, a copy of which may also be stored on the underpinning physical infrastructure 214. The blockchain configuration may include one or applications 224 which are linked to application programming interfaces (APIs) 222 to access and execute stored program/application code 220 (e.g., chaincode, smart contracts, etc.) which can be created according to a customized configuration sought by participants and can maintain their own state, control their own assets, and receive external information. This can be deployed as a transaction and installed, via appending to the distributed ledger, on all blockchain nodes 204-210.

The blockchain base or platform 212 may include various layers of blockchain data, services (e.g., cryptographic trust services, virtual execution environment, etc.), and underpinning physical computer infrastructure that may be used to receive and store new transactions and provide access to auditors which are seeking to access data entries. The blockchain layer 216 may expose an interface that provides access to the virtual execution environment necessary to process the program code and engage the physical infrastructure 214. Cryptographic trust services 218 may be used to verify transactions such as asset exchange transactions and keep information private.

The blockchain architecture configuration of FIG. 2A may process and execute program/application code 220 via one or more interfaces exposed, and services provided, by blockchain platform 212. The code 220 may control blockchain assets. For example, the code 220 can store and transfer data, and may be executed by nodes 204-210 in the form of a smart contract and associated chaincode with conditions or other code elements subject to its execution. As a non-limiting example, smart contracts may be created to execute reminders, updates, and/or other notifications subject to the changes, updates, etc. The smart contracts can themselves be used to identify rules associated with authorization and access requirements and usage of the ledger.

Within chaincode, a smart contract may be created via a high-level application and programming language, and then written to a block in the blockchain. The smart contract may include executable code which is registered, stored, and/or replicated with a blockchain (e.g., distributed network of blockchain peers). A transaction is an execution of the smart contract code which can be performed in response to conditions associated with the smart contract being satisfied. The executing of the smart contract may trigger a trusted modification(s) to a state of a digital blockchain ledger. The modification(s) to the blockchain ledger caused by the smart contract execution may be automatically replicated throughout the distributed network of blockchain peers through one or more consensus protocols.

The smart contract may write data to the blockchain in the format of key-value pairs. Furthermore, the smart contract code can read the values stored in a blockchain and use them in application operations. The smart contract code can write the output of various logic operations into the blockchain. The code may be used to create a temporary data structure in a virtual machine or other computing platform. Data written to the blockchain can be public and/or can be encrypted and maintained as private. The temporary data that is used/generated by the smart contract is held in memory by the supplied execution environment, then deleted once the data needed for the blockchain is identified.

A chaincode may include the code interpretation of a smart contract, with additional features. As described herein, the chaincode may be program code deployed on a computing network, where it is executed and validated by chain validators together during a consensus process. The chaincode receives a hash and retrieves from the blockchain a hash associated with the data template created by use of a previously stored feature extractor. If the hashes of the hash identifier and the hash created from the stored identifier template data match, then the chaincode sends an authorization key to the requested service. The chaincode may write to the blockchain data associated with the cryptographic details. In FIG. 2A, in one example, certain subsets of a data record are identified 226 as potential data sets for group invoke proposals, which can optimize the network performance and provide optimal access for various different parties. Different smart contracts can be defined 228 to represent different portions of a data record. The set of smart contracts may be setup as a group of smart contracts 228, which are identified and endorsed by one or more of the blockchain peer nodes 201.

FIG. 2B illustrates an example of a transactional flow 250 between nodes of the blockchain in accordance with an example embodiment. Referring to FIG. 2B, the transaction flow may include a transaction proposal 291 sent by an application client node 260 to an endorsing peer node 281. The endorsing peer 281 may verify the client signature and execute a chaincode function to initiate the transaction. The output may include the chaincode results, a set of key/value versions that were read in the chaincode (read set), and the set of keys/values that were written in chaincode (write set). The proposal response 292 is sent back to the client 260 along with an endorsement signature, if approved. The client 260 assembles the endorsements into a transaction payload 293 and broadcasts it to an ordering service node 284. The ordering service node 284 then delivers ordered transactions as blocks to all peers 281-283 on a channel. Before committal to the blockchain, each peer 281-283 may validate the transaction. For example, the peers may check the endorsement policy to ensure that the correct allotment of the specified peers have signed the results and authenticated the signatures against the transaction payload 293.

Referring again to FIG. 2B, the client node 260 initiates the transaction 291 by constructing and sending a request to the peer node 281, which is an endorser. The client 260 may include an application leveraging a supported software development kit (SDK), such as NODE, JAVA, PYTHON, and the like, which utilizes an available API to generate a transaction proposal. The proposal is a request to invoke a chaincode function so that data can be read and/or written to the ledger (i.e., write new key value pairs for the assets). The SDK may serve as a shim to package the transaction proposal into a properly architected format (e.g., protocol buffer over a remote procedure call (RPC)) and take the client's cryptographic credentials to produce a unique signature for the transaction proposal.

In response, the endorsing peer node 281 may verify (a) that the transaction proposal is well formed, (b) the transaction has not been submitted already in the past (replay-attack protection), (c) the signature is valid, and (d) that the submitter (client 260, in the example) is properly authorized to perform the proposed operation on that channel. The endorsing peer node 281 may take the transaction proposal inputs as arguments to the invoked chaincode function. The chaincode is then executed against a current state database to produce transaction results including a response value, read set, and write set. However, no updates are made to the ledger at this point. In 292, the set of values, along with the endorsing peer node's 281 signature is passed back as a proposal response 292 to the SDK of the client 260 which parses the payload for the application to consume.

In response, the application of the client 260 inspects/verifies the endorsing peers signatures and compares the proposal responses to determine if the proposal response is the same. If the chaincode only queried the ledger, the application would inspect the query response and would typically not submit the transaction to the ordering node service 284. If the client application intends to submit the transaction to the ordering node service 284 to update the ledger, the application determines if the specified endorsement policy has been fulfilled before submitting (i.e., did all peer nodes necessary for the transaction endorse the transaction). Here, the client may include only one of multiple parties to the transaction. In this case, each client may have their own endorsing node, and each endorsing node will need to endorse the transaction. The architecture is such that even if an application selects not to inspect responses or otherwise forwards an unendorsed transaction, the endorsement policy will still be enforced by peers and upheld at the commit validation phase.

After successful inspection, in step 293 the client 260 assembles endorsements into a transaction and broadcasts the transaction proposal and response within a transaction message to the ordering node 284. The transaction may contain the read/write sets, the endorsing peers signatures and a channel ID. The ordering node 284 does not need to inspect the entire content of a transaction in order to perform its operation, instead the ordering node 284 may simply receive transactions from all channels in the network, order them chronologically by channel, and create blocks of transactions per channel.

The blocks of the transaction are delivered from the ordering node 284 to all peer nodes 281-283 on the channel. The transactions 294 within the block are validated to ensure any endorsement policy is fulfilled and to ensure that there have been no changes to ledger state for read set variables since the read set was generated by the transaction execution. Transactions in the block are tagged as being valid or invalid. Furthermore, in step 295 each peer node 281-283 appends the block to the channel's chain, and for each valid transaction the write sets are committed to current state database. An event is emitted, to notify the client application that the transaction (invocation) has been immutably appended to the chain, as well as to notify whether the transaction was validated or invalidated.

FIG. 3 illustrates an example of a permissioned blockchain network 300, which features a distributed, decentralized peer-to-peer architecture, and a certificate authority 318 managing user roles and permissions. In this example, the blockchain user 302 may submit a transaction to the permissioned blockchain network 310. In this example, the transaction can be a deploy, invoke or query, and may be issued through a client-side application leveraging an SDK, directly through a REST API, or the like. Trusted business networks may provide access to regulator systems 314, such as auditors (the Securities and Exchange Commission in a U.S. equities market, for example). Meanwhile, a blockchain network operator system of nodes 312 manage member permissions, such as enrolling the regulator system 310 as an “auditor” and the blockchain user 302 as a “client.” An auditor could be restricted only to querying the ledger whereas a client could be authorized to deploy, invoke, and query certain types of chaincode.

A blockchain developer system 316 writes chaincode and client-side applications. The blockchain developer system 316 can deploy chaincode directly to the network through a REST interface. To include credentials from a traditional data source 330 in chaincode, the developer system 316 could use an out-of-band connection to access the data. In this example, the blockchain user 302 connects to the network through a peer node 308. Before proceeding with any transactions, the peer node 308 retrieves the user's enrollment and transaction certificates from the certificate authority 318. In some cases, blockchain users must possess these digital certificates in order to transact on the permissioned blockchain network 310. Meanwhile, a user attempting to drive chaincode may be required to verify their credentials on the traditional data source 330. To confirm the user's authorization, chaincode can use an out-of-band connection to this data through a traditional processing platform 320.

FIG. 4 illustrates a system messaging diagram for performing data record management, according to example embodiments. Referring to FIG. 4 , the system configuration 400 provides a group of blockchain peers 410, an ordering service 420 for managing blockchain transactions and a blockchain 430. In one example, the peers may receive a data record proposal 412 regarding the data record and endorse the data record proposal 414, which will be represented by a group of smart contracts in the blockchain. The endorsed proposal 416 may be forwarded to an ordering service 420, where the proposal may be disaggregated 418 into individual smart contract level blockchain transactions which are re-aggregated 422 into blocks of transactions for committal to the blockchain 430. The blocks of transactions are forwarded 424 to the blockchain and committed 426.

FIG. 5 illustrates a flow diagram of an example method of data record management in a blockchain, according to example embodiments. Referring to FIG. 5 , the method 500 includes identifying a data record to be included in a blockchain 512, creating a group of smart contracts to enable access to the data record to data consumers with access to the blockchain 514, determining the group of smart contracts have been registered by one or more blockchain peers 516, and storing the group of smart contracts on the blockchain 518. The method may also include assigning different portions of the data record to the group of smart contracts, such that each smart contract in the group of smart contracts is assigned a different portion of the data record. The method may further include identifying a group invoke transaction proposal comprising a plurality of smart contract level data record access proposals associated with the data record, endorsing the group invoke transaction proposal by the one or more blockchain peers, and transmitting the group invoke transaction proposal to an ordering service, disaggregating the endorsed group invoke transaction proposal into a plurality of individual endorsed smart contracts, transmitting from the ordering service a plurality of endorsed transactions corresponding to the one or more blockchain peers as blockchain transactions to be committed to the blockchain, and performing a registration of one or more groups with the ordering service, the registration comprising a group identifier, record fields and smart contract identifiers corresponding to the group of smart contracts.

FIG. 6A illustrates an example physical infrastructure configured to perform various operations on the blockchain in accordance with one or more of the example methods of operation according to example embodiments. Referring to FIG. 6A, the example configuration 600 includes a physical infrastructure 610 with a blockchain 620 and a smart contract 640, which may execute any of the operational steps 612 included in any of the example embodiments. The steps/operations 612 may include one or more of the steps described or depicted in one or more flow diagrams and/or logic diagrams. The steps may represent output or written information that is written or read from one or more smart contracts 640 and/or blockchains 620 that reside on the physical infrastructure 610 of a computer system configuration. The data can be output from an executed smart contract 640 and/or blockchain 620. The physical infrastructure 610 may include one or more computers, servers, processors, memories, and/or wireless communication devices.

FIG. 6B illustrates an example smart contract configuration among contracting parties and a mediating server configured to enforce the smart contract terms on the blockchain according to example embodiments. Referring to FIG. 6B, the configuration 650 may represent a communication session, an asset transfer session or a process or procedure that is driven by a smart contract 640 which explicitly identifies one or more user devices 652 and/or 656. The execution, operations and results of the smart contract execution may be managed by a server 654. Content of the smart contract 640 may require digital signatures by one or more of the entities 652 and 656 which are parties to the smart contract transaction. The results of the smart contract execution may be written to a blockchain as a blockchain transaction.

The above embodiments may be implemented in hardware, in a computer program executed by a processor, in firmware, or in a combination of the above. A computer program may be embodied on a computer readable medium, such as a storage medium. For example, a computer program may reside in random access memory (“RAM”), flash memory, read-only memory (“ROM”), erasable programmable read-only memory (“EPROM”), electrically erasable programmable read-only memory (“EEPROM”), registers, hard disk, a removable disk, a compact disk read-only memory (“CD-ROM”), or any other form of storage medium known in the art.

An exemplary storage medium may be coupled to the processor such that the processor may read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (“ASIC”). In the alternative, the processor and the storage medium may reside as discrete components. For example, FIG. 7 illustrates an example computer system architecture 700, which may represent or be integrated in any of the above-described components, etc.

FIG. 7 is not intended to suggest any limitation as to the scope of use or functionality of embodiments of the application described herein. Regardless, the computing node 700 is capable of being implemented and/or performing any of the functionality set forth hereinabove.

In computing node 700 there is a computer system/server 702, which is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with computer system/server 702 include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments that include any of the above systems or devices, and the like.

Computer system/server 702 may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, and so on that perform particular tasks or implement particular abstract data types. Computer system/server 702 may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.

As shown in FIG. 7 , computer system/server 702 in cloud computing node 700 is shown in the form of a general-purpose computing device. The components of computer system/server 702 may include, but are not limited to, one or more processors or processing units 704, a system memory 706, and a bus that couples various system components including system memory 706 to processor 704.

The bus represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnects (PCI) bus.

Computer system/server 702 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system/server 702, and it includes both volatile and non-volatile media, removable and non-removable media. System memory 706, in one embodiment, implements the flow diagrams of the other figures. The system memory 706 can include computer system readable media in the form of volatile memory, such as random-access memory (RAM) 710 and/or cache memory 712. Computer system/server 702 may further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, storage system 714 can be provided for reading from and writing to a non-removable, non-volatile magnetic media (not shown and typically called a “hard drive”). Although not shown, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a “floppy disk”), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk such as a CD-ROM, DVD-ROM or other optical media can be provided. In such instances, each can be connected to the bus by one or more data media interfaces. As will be further depicted and described below, memory 706 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of various embodiments of the application.

Program/utility 716, having a set (at least one) of program modules 718, may be stored in memory 706 by way of example, and not limitation, as well as an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment. Program modules 718 generally carry out the functions and/or methodologies of various embodiments of the application as described herein.

As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method, or computer program product. Accordingly, aspects of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.” Furthermore, aspects of the present application may take the form of a computer program product embodied in one or more computer readable medium(s) having computer readable program code embodied thereon.

Computer system/server 702 may also communicate with one or more external devices 720 such as a keyboard, a pointing device, a display 722, etc.; one or more devices that enable a user to interact with computer system/server 702; and/or any devices (e.g., network card, modem, etc.) that enable computer system/server 702 to communicate with one or more other computing devices. Such communication can occur via I/O interfaces 724. Still yet, computer system/server 702 can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet) via network adapter 726. As depicted, network adapter 726 communicates with the other components of computer system/server 702 via a bus. It should be understood that although not shown, other hardware and/or software components could be used in conjunction with computer system/server 702. Examples, include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc.

Although an exemplary embodiment of at least one of a system, method, and non-transitory computer readable medium has been illustrated in the accompanied drawings and described in the foregoing detailed description, it will be understood that the application is not limited to the embodiments disclosed, but is capable of numerous rearrangements, modifications, and substitutions as set forth and defined by the following claims. For example, the capabilities of the system of the various figures can be performed by one or more of the modules or components described herein or in a distributed architecture and may include a transmitter, receiver or pair of both. For example, all or part of the functionality performed by the individual modules, may be performed by one or more of these modules. Further, the functionality described herein may be performed at various times and in relation to various events, internal or external to the modules or components. Also, the information sent between various modules can be sent between the modules via at least one of: a data network, the Internet, a voice network, an Internet Protocol network, a wireless device, a wired device and/or via plurality of protocols. Also, the messages sent or received by any of the modules may be sent or received directly and/or via one or more of the other modules.

One skilled in the art will appreciate that a “system” could be embodied as a personal computer, a server, a console, a personal digital assistant (PDA), a cell phone, a tablet computing device, a smartphone or any other suitable computing device, or combination of devices. Presenting the above-described functions as being performed by a “system” is not intended to limit the scope of the present application in any way but is intended to provide one example of many embodiments. Indeed, methods, systems and apparatuses disclosed herein may be implemented in localized and distributed forms consistent with computing technology.

It should be noted that some of the system features described in this specification have been presented as modules, in order to more particularly emphasize their implementation independence. For example, a module may be implemented as a hardware circuit comprising custom very large-scale integration (VLSI) circuits or gate arrays, off-the-shelf semiconductors such as logic chips, transistors, or other discrete components. A module may also be implemented in programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices, graphics processing units, or the like.

A module may also be at least partially implemented in software for execution by various types of processors. An identified unit of executable code may, for instance, comprise one or more physical or logical blocks of computer instructions that may, for instance, be organized as an object, procedure, or function. Nevertheless, the executables of an identified module need not be physically located together but may comprise disparate instructions stored in different locations which, when joined logically together, comprise the module and achieve the stated purpose for the module. Further, modules may be stored on a computer-readable medium, which may be, for instance, a hard disk drive, flash device, random access memory (RAM), tape, or any other such medium used to store data.

Indeed, a module of executable code could be a single instruction, or many instructions, and may even be distributed over several different code segments, among different programs, and across several memory devices. Similarly, operational data may be identified and illustrated herein within modules and may be embodied in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set or may be distributed over different locations including over different storage devices, and may exist, at least partially, merely as electronic signals on a system or network.

It will be readily understood that the components of the application, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the detailed description of the embodiments is not intended to limit the scope of the application as claimed but is merely representative of selected embodiments of the application.

One having ordinary skill in the art will readily understand that the above may be practiced with steps in a different order, and/or with hardware elements in configurations that are different than those which are disclosed. Therefore, although the application has been described based upon these preferred embodiments, it would be apparent to those of skill in the art that certain modifications, variations, and alternative constructions would be apparent.

While preferred embodiments of the present application have been described, it is to be understood that the embodiments described are illustrative only and the scope of the application is to be defined solely by the appended claims when considered with a full range of equivalents and modifications (e.g., protocols, hardware devices, software platforms etc.) thereto. 

What is claimed is:
 1. A method, comprising: receiving, by an ordering service in a blockchain network, a group endorsement proposal that includes a plurality of blockchain transactions which comprise simulated changes to a blockchain ledger of the blockchain network in the form of read and write sets which are endorsed by a peer node from among a plurality of peer nodes included in the blockchain network, wherein the endorsement proposal is generated via combined execution of a plurality of smart contracts by the peer node on a data record; dividing, by the ordering service, the plurality of blockchain transactions included in the group endorsement proposal into two or more subsets of endorsed blockchain transactions corresponding to two or more different respective smart contracts from among the plurality of smart contract that are used to write the changes to the blockchain ledger of the blockchain network within the plurality of blockchain transactions; building, by the ordering service, two or more blockchain blocks that include read and write sets of the two or more subsets of endorsed blockchain transactions divided by the ordering service, respectively; and distributing, by the ordering service, the two or more blockchain blocks for commitment to a blockchain ledger of one or more peer nodes from among the plurality of peer nodes which includes the two or more different respective smart contracts.
 2. The method of claim 1, wherein each smart contract, of the plurality of smart contracts, corresponds to a different field in the data record.
 3. The method of claim 1, further comprising: registering, by the ordering service, a group identifier, record fields, and smart contract identifiers corresponding to the plurality of smart contracts.
 4. The method of claim 1, wherein the method further comprises: assigning an endorsed blockchain transaction to a corresponding block based a channel assigned to a smart contract executed to generate the endorsed blockchain transaction.
 5. The method of claim 1, wherein the method further comprises: committing, by the ordering service, the two or more channel specific blockchain blocks to flail the blockchain ledger.
 6. An apparatus, comprising: a processor configured to: receive a group endorsement proposal that includes a plurality of blockchain transactions which comprise simulated changes to a blockchain ledger of the blockchain network in the form of read and write (read/write) sets which are endorsed by a peer node from among a plurality of peer nodes included in a blockchain network, wherein the endorsement proposal is generated via combined execution of a plurality of smart contracts by the peer node on a data record; divide, by the ordering service, the plurality of blockchain transactions included in the group endorsement proposal into two or more different subsets of endorsed blockchain transactions corresponding to two or more different respective smart contracts from among the plurality of smart contract that are used to write the changes to the blockchain ledger of the blockchain network within the plurality of blockchain transactions; build, by the ordering service, two or more blockchain blocks that include read/write sets of the two or more subsets of endorsed blockchain transactions divided by the ordering service, respectively; and distribute, by the ordering service, the two or more blockchain blocks for commitment to a blockchain ledger of one or more peer nodes from among the plurality of peer nodes which includes the two or more different respective smart contracts.
 7. The apparatus of claim 6, wherein each smart contract, of the plurality of smart contracts, corresponds to a different field in the data record.
 8. The apparatus of claim 6, wherein the processor is further configured to: register a group identifier, record fields, and smart contract identifiers corresponding to the plurality of smart contracts.
 9. The apparatus of claim 8, wherein the processor is further configured to: assign an endorsed blockchain transaction to a corresponding block based a channel assigned to a smart contract executed to generate the endorsed blockchain transaction.
 10. The apparatus of claim 6, wherein the processor is further configured to: commit the two or more blockchain blocks to the blockchain ledger.
 11. A non-transitory computer readable storage medium configured to store one or more instructions that when executed by a processor cause the processor to perform: receiving, by an ordering service of a blockchain network, a group endorsement proposal that includes a plurality of endorsed blockchain transactions which comprise simulated changes to a blockchain ledger of the blockchain network in the form of read and write sets which are endorsed by a peer node from among a plurality of peer nodes included in the blockchain network, wherein the endorsement proposal is generated via combined execution of a plurality of smart contracts by the peer node on a data record; dividing, by the ordering service, the plurality of endorsed blockchain transactions included in the group endorsement proposal into two or more subsets of endorsed blockchain transactions corresponding to two or more different respective smart contracts from among the plurality of smart contract that are used to write the changes to the blockchain ledger of the blockchain network within the plurality of blockchain transactions; building, by the ordering service, two or more blockchain blocks that include read/write sets of the two or more subsets of endorsed blockchain transactions divided by the ordering service, respectively; and distributing the two or more channel-specific blocks to the plurality of peer nodes which includes the two or more different respective smart contracts.
 12. The non-transitory computer readable storage medium of claim 11, wherein each smart contract, of the plurality of mart contracts, corresponds to a different field in the data record.
 13. The non-transitory computer readable storage medium of claim 11, wherein the one or more instructions further cause the processor to perform: registering a group identifier, record fields, and smart contract identifiers corresponding to the plurality of smart contracts.
 14. The non-transitory computer readable storage medium of claim 11, wherein the instructions further cause the processor to perform: committing the two or more blockchain blocks to the blockchain ledger.
 15. The non-transitory computer readable storage medium of claim 14, wherein the instructions further cause the processor to perform: assigning an endorsed blockchain transaction to a corresponding block based a channel assigned to a smart contract executed to generate the endorsed blockchain transaction. 